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Identifying High Health Care Utilizers Using Post-Regression Residual Analysis of Health Expenditures from a State Medicaid Program.

, , , and . AMIA, AMIA, (2017)

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Supervoxel-based segmentation of 3D imagery with optical flow integration for spatiotemporal processing., , , and . IPSJ Trans. Comput. Vis. Appl., (2018)Research on Tobacco Silk Making Scheduling Based on Improved DE., , , , and . ISICA, volume 1205 of Communications in Computer and Information Science, page 560-571. Springer, (2019)Global Model Interpretation Via Recursive Partitioning., , and . HPCC/SmartCity/DSS, page 1563-1570. IEEE, (2018)Predicting 30-day all-cause readmissions from hospital inpatient discharge data., , , and . HealthCom, page 1-6. IEEE, (2016)Visual Explanations From Deep 3D Convolutional Neural Networks for Alzheimer's Disease Classification., , and . AMIA, AMIA, (2018)Expenditure variations analysis using residuals for identifying high health care utilizers in a state Medicaid program., , , and . BMC Medical Informatics Decis. Mak., 19 (1): 131:1-131:15 (2019)Clustering Inter-Arrival Time of Health Care Encounters for High Utilizers., , , and . HealthCom, page 1-6. IEEE, (2018)Machine Learning Approaches for Predicting High Utilizers in Health Care., , , and . IWBBIO (2), volume 10209 of Lecture Notes in Computer Science, page 382-395. (2017)Supervoxel-Based Segmentation of 3D Volumetric Images., , , and . ACCV (1), volume 10111 of Lecture Notes in Computer Science, page 37-53. Springer, (2016)Identifying High Health Care Utilizers Using Post-Regression Residual Analysis of Health Expenditures from a State Medicaid Program., , , and . AMIA, AMIA, (2017)